Dataset info
| Number of variables | 49 |
|---|---|
| Number of observations | 3063 |
| Missing cells | 14773 (9.8%) |
| Duplicate rows | 0 (0.0%) |
| Total size in memory | 1.1 MiB |
| Average record size in memory | 392.0 B |
Variables types
| Numeric | 14 |
|---|---|
| Categorical | 35 |
| Boolean | 0 |
| Date | 0 |
| URL | 0 |
| Text (Unique) | 0 |
| Rejected | 0 |
| Unsupported | 0 |
Warnings
A_qué_está_atado_el_bono has a high cardinality: 99 distinct values | Warning |
Años_de_experiencia has 182 (5.9%) zeros | Zeros |
Años_en_el_puesto_actual has 779 (25.4%) zeros | Zeros |
Años_en_la_empresa_actual has 913 (29.8%) zeros | Zeros |
Bases_de_datos has a high cardinality: 776 distinct values | Warning |
Bases_de_datos has 715 (23.3%) missing values | Missing |
Beneficios_extra has a high cardinality: 1760 distinct values | Warning |
Carrera has a high cardinality: 298 distinct values | Warning |
Carrera has 151 (4.9%) missing values | Missing |
Cuánto_cobrás_por_guardia has 2815 (91.9%) zeros | Zeros |
Frameworks,_herramientas_y_librerías has a high cardinality: 857 distinct values | Warning |
Frameworks,_herramientas_y_librerías has 1137 (37.1%) missing values | Missing |
IDEs has a high cardinality: 682 distinct values | Warning |
IDEs has 805 (26.3%) missing values | Missing |
Lenguajes_de_programación has a high cardinality: 1077 distinct values | Warning |
Lenguajes_de_programación has 486 (15.9%) missing values | Missing |
Orientación_sexual has 61 (2.0%) missing values | Missing |
Plataformas has a high cardinality: 679 distinct values | Warning |
Plataformas has 535 (17.5%) missing values | Missing |
QA_/_Testing has a high cardinality: 382 distinct values | Warning |
QA_/_Testing has 1932 (63.1%) missing values | Missing |
Salario_mensual_NETO_(en_tu_moneda_local) has 128 (4.2%) missing values | Missing |
Tengo is highly skewed (γ1 = 41.79131982) | Skewed |
Trabajo_de has a high cardinality: 190 distinct values | Warning |
Universidad has a high cardinality: 468 distinct values | Warning |
Universidad has 313 (10.2%) missing values | Missing |
¿A_cuántos_kilómetros_de_tu_casa_queda_la_oficina? is highly skewed (γ1 = 54.27162625) | Skewed |
¿A_cuántos_kilómetros_de_tu_casa_queda_la_oficina? has 33 (1.1%) zeros | Zeros |
¿A_qué_eventos_de_tecnología_asististe_en_el_último_año? has a high cardinality: 769 distinct values | Warning |
¿A_qué_eventos_de_tecnología_asististe_en_el_último_año? has 1959 (64.0%) missing values | Missing |
¿Cuáles_considerás_que_son_las_mejores_empresas_de_IT_para_trabajar_en_este_momento,_en_tu_ciudad? has a high cardinality: 685 distinct values | Warning |
¿Cuáles_considerás_que_son_las_mejores_empresas_de_IT_para_trabajar_en_este_momento,_en_tu_ciudad? has 2123 (69.3%) missing values | Missing |
¿De_qué_%_fue_el_ajuste? has 860 (28.1%) zeros | Zeros |
¿En_qué_mes_fue_el_último_ajuste? has 786 (25.7%) zeros | Zeros |
¿Gente_a_cargo? has 2331 (76.1%) zeros | Zeros |
¿Sentís_que_esto_te_dificultó_el_conseguir_trabajo? has 1594 (52.0%) missing values | Missing |
¿Tenés_algún_tipo_de_discapacidad? has 2813 (91.8%) missing values | Missing |
A_qué_está_atado_el_bono
Categorical
| Distinct count | 99 |
|---|---|
| Unique (%) | 3.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| No recibo bono | |
|---|---|
| Mix de las anteriores | |
| Performance individual | 281 |
| Other values (96) |
| Value | Count | Frequency (%) | |
| No recibo bono | 1902 | 62.1% | |
| Mix de las anteriores | 475 | 15.5% | |
| Performance individual | 281 | 9.2% | |
| Performance de la compañía | 248 | 8.1% | |
| Performance grupal | 54 | 1.8% | |
| A nada | 3 | 0.1% | |
| Permanencia | 2 | 0.1% | |
| presentismo | 2 | 0.1% | |
| Convenio colectivo | 2 | 0.1% | |
| a nada | 2 | 0.1% | |
| Other values (89) | 92 | 3.0% |
| Max length | 158 |
|---|---|
| Mean length | 17.10577865 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Actividad_principal
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Servicios / Consultoría de Software / Digital | |
|---|---|
| Producto basado en Software | |
| Otras industrias |
| Value | Count | Frequency (%) | |
| Servicios / Consultoría de Software / Digital | 1146 | 37.4% | |
| Producto basado en Software | 1108 | 36.2% | |
| Otras industrias | 809 | 26.4% |
| Max length | 45 |
|---|---|
| Mean length | 30.82925237 |
| Min length | 16 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Años_de_experiencia
Numeric
| Distinct count | 41 |
|---|---|
| Unique (%) | 1.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 8.644955926 |
|---|---|
| Minimum | 0 |
| Maximum | 40 |
| Zeros (%) | 5.9% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| Median | 7 |
| Q3 | 12 |
| 95-th percentile | 21 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range | 9 |
Descriptive statistics
| Standard deviation | 6.790730695 |
|---|---|
| Coef of variation | 0.7855136282 |
| Kurtosis | 0.9102791627 |
| Mean | 8.644955926 |
| MAD | 5.453513116 |
| Skewness | 0.9975548987 |
| Sum | 26479.5 |
| Variance | 46.11402337 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=41)
Histogram with variable size bins (bins=[ 0. 0.5 1.25 1.75 2.25 ... 24.5 25.5 29.5 30.5 40. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 10 | 272 | 8.9% | |
| 3 | 227 | 7.4% | |
| 5 | 221 | 7.2% | |
| 2 | 221 | 7.2% | |
| 15 | 207 | 6.8% | |
| 4 | 200 | 6.5% | |
| 1 | 193 | 6.3% | |
| 0 | 182 | 5.9% | |
| 12 | 164 | 5.4% | |
| 8 | 160 | 5.2% | |
| Other values (31) | 1016 | 33.2% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 182 | 5.9% | |
| 1 | 193 | 6.3% | |
| 1.5 | 11 | 0.4% | |
| 2 | 221 | 7.2% | |
| 2.5 | 5 | 0.2% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 40 | 3 | 0.1% | |
| 36 | 1 | < 0.1% | |
| 35 | 3 | 0.1% | |
| 34 | 2 | 0.1% | |
| 33 | 2 | 0.1% |
Años_en_el_puesto_actual
Numeric
| Distinct count | 32 |
|---|---|
| Unique (%) | 1.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 2.860757427 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros (%) | 25.4% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 2 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range | 4 |
Descriptive statistics
| Standard deviation | 3.813459912 |
|---|---|
| Coef of variation | 1.33302456 |
| Kurtosis | 139.8998989 |
| Mean | 2.860757427 |
| MAD | 2.48548988 |
| Skewness | 6.808527577 |
| Sum | 8762.5 |
| Variance | 14.5424765 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=32)
Histogram with variable size bins (bins=[ 0. 0.25 0.75 1.1 1.45 ... 13.5 14.5 15.5 20.5 100. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 779 | 25.4% | |
| 1 | 611 | 19.9% | |
| 2 | 447 | 14.6% | |
| 3 | 330 | 10.8% | |
| 5 | 191 | 6.2% | |
| 4 | 190 | 6.2% | |
| 6 | 90 | 2.9% | |
| 10 | 83 | 2.7% | |
| 8 | 75 | 2.4% | |
| 7 | 69 | 2.3% | |
| Other values (22) | 198 | 6.5% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 779 | 25.4% | |
| 0.5 | 2 | 0.1% | |
| 1 | 611 | 19.9% | |
| 1.2 | 1 | < 0.1% | |
| 1.4 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 100 | 1 | < 0.1% | |
| 28 | 1 | < 0.1% | |
| 21 | 1 | < 0.1% | |
| 20 | 8 | 0.3% | |
| 19 | 4 | 0.1% |
Años_en_la_empresa_actual
Numeric
| Distinct count | 37 |
|---|---|
| Unique (%) | 1.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 3.242376755 |
|---|---|
| Minimum | 0 |
| Maximum | 40 |
| Zeros (%) | 29.8% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 2 |
| Q3 | 4 |
| 95-th percentile | 12 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range | 4 |
Descriptive statistics
| Standard deviation | 4.341211815 |
|---|---|
| Coef of variation | 1.338898019 |
| Kurtosis | 7.399159381 |
| Mean | 3.242376755 |
| MAD | 3.094587607 |
| Skewness | 2.300173477 |
| Sum | 9931.4 |
| Variance | 18.84612002 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=37)
Histogram with variable size bins (bins=[ 0. 0.25 0.75 1.1 1.45 ... 5.5 10.5 15.5 20.5 40. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 913 | 29.8% | |
| 1 | 500 | 16.3% | |
| 2 | 418 | 13.6% | |
| 3 | 288 | 9.4% | |
| 4 | 162 | 5.3% | |
| 5 | 137 | 4.5% | |
| 6 | 92 | 3.0% | |
| 10 | 90 | 2.9% | |
| 8 | 82 | 2.7% | |
| 7 | 61 | 2.0% | |
| Other values (27) | 320 | 10.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 913 | 29.8% | |
| 0.5 | 1 | < 0.1% | |
| 1 | 500 | 16.3% | |
| 1.2 | 1 | < 0.1% | |
| 1.4 | 2 | 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 40 | 1 | < 0.1% | |
| 34 | 2 | 0.1% | |
| 30 | 1 | < 0.1% | |
| 29 | 1 | < 0.1% | |
| 28 | 3 | 0.1% |
Bases_de_datos
Categorical
| Distinct count | 776 |
|---|---|
| Unique (%) | 25.3% |
| Missing (%) | 23.3% |
| Missing (n) | 715 |
| MySQL | 220 |
|---|---|
| MSSQL | 194 |
| Oracle | 110 |
| Other values (772) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| MySQL | 220 | 7.2% | |
| MSSQL | 194 | 6.3% | |
| Oracle | 110 | 3.6% | |
| PostgreSQL | 87 | 2.8% | |
| MSSQL, MySQL | 65 | 2.1% | |
| MongoDB | 55 | 1.8% | |
| Microsoft Azure (Tables, CosmosDB, SQL, etc) | 42 | 1.4% | |
| MongoDB, MySQL | 38 | 1.2% | |
| MSSQL, Oracle | 35 | 1.1% | |
| MariaDB, MySQL | 33 | 1.1% | |
| Other values (765) | 1469 | 48.0% | |
| (Missing) | 715 | 23.3% |
| Max length | 230 |
|---|---|
| Mean length | 20.79529873 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Beneficios_extra
Categorical
| Distinct count | 1760 |
|---|---|
| Unique (%) | 57.5% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Ninguna de las anteriores | 261 |
|---|---|
| Horarios flexibles | 77 |
| Horarios flexibles, WFH (Trabajar desde casa) | 72 |
| Other values (1757) |
| Value | Count | Frequency (%) | |
| Ninguna de las anteriores | 261 | 8.5% | |
| Horarios flexibles | 77 | 2.5% | |
| Horarios flexibles, WFH (Trabajar desde casa) | 72 | 2.4% | |
| WFH (Trabajar desde casa) | 40 | 1.3% | |
| Abono de celular y/o Internet | 37 | 1.2% | |
| Capacitaciones y/o cursos | 31 | 1.0% | |
| Capacitaciones y/o cursos, Horarios flexibles | 22 | 0.7% | |
| Comidas pagas / subvencionadas | 21 | 0.7% | |
| Clases de idiomas | 18 | 0.6% | |
| Gimnasios gratuitos / subvencionados | 16 | 0.5% | |
| Other values (1750) | 2468 | 80.6% |
| Max length | 548 |
|---|---|
| Mean length | 137.9536402 |
| Min length | 4 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Cantidad_de_empleados
Categorical
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| 11-50 | |
|---|---|
| 51-100 | |
| 201-500 | |
| Other values (7) |
| Value | Count | Frequency (%) | |
| 11-50 | 600 | 19.6% | |
| 51-100 | 409 | 13.4% | |
| 201-500 | 362 | 11.8% | |
| 101-200 | 355 | 11.6% | |
| 1-10 | 280 | 9.1% | |
| 501-1000 | 268 | 8.7% | |
| 2001-5000 | 221 | 7.2% | |
| 5001-10000 | 206 | 6.7% | |
| 1001-2000 | 186 | 6.1% | |
| 10001+ | 176 | 5.7% |
| Max length | 10 |
|---|---|
| Mean length | 6.698008488 |
| Min length | 4 |
| Contains chars | False |
| Contains digits | True |
| Contains spaces | False |
| Contains non-words | True |
Carrera
Categorical
| Distinct count | 298 |
|---|---|
| Unique (%) | 9.7% |
| Missing (%) | 4.9% |
| Missing (n) | 151 |
| Ingeniería en Sistemas de Información | |
|---|---|
| Ingeniería en Informática | |
| Analista de Sistemas | |
| Other values (294) |
| Value | Count | Frequency (%) | |
| Ingeniería en Sistemas de Información | 632 | 20.6% | |
| Ingeniería en Informática | 393 | 12.8% | |
| Analista de Sistemas | 319 | 10.4% | |
| Licenciatura en Ciencias dela Computación | 193 | 6.3% | |
| Licenciatura en Sistemas de Información | 158 | 5.2% | |
| Licenciatura en Informática | 130 | 4.2% | |
| Tecnicatura en Programación | 98 | 3.2% | |
| Ingeniería Electrónica | 66 | 2.2% | |
| Tecnicatura Superior en Programación | 62 | 2.0% | |
| Licenciatura en Análisis de Sistemas | 57 | 1.9% | |
| Other values (287) | 804 | 26.2% | |
| (Missing) | 151 | 4.9% |
| Max length | 206 |
|---|---|
| Mean length | 28.03656546 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Cuánto_cobrás_por_guardia
Numeric
| Distinct count | 93 |
|---|---|
| Unique (%) | 3.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 380.0241854 |
|---|---|
| Minimum | 0 |
| Maximum | 67000 |
| Zeros (%) | 91.9% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 0 |
| Q3 | 0 |
| 95-th percentile | 1000 |
| Maximum | 67000 |
| Range | 67000 |
| Interquartile range | 0 |
Descriptive statistics
| Standard deviation | 2767.056439 |
|---|---|
| Coef of variation | 7.281264047 |
| Kurtosis | 306.4332396 |
| Mean | 380.0241854 |
| MAD | 712.3928212 |
| Skewness | 15.37847884 |
| Sum | 1164014.08 |
| Variance | 7656601.334 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
Histogram with variable size bins (bins=[0.00e+00 1.25e-01 9.50e+00 1.05e+01 2.50e+01 1.55e+03 6.25e+03 1.25e+04 2.15e+04 6.70e+04], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2815 | 91.9% | |
| 10 | 16 | 0.5% | |
| 5000 | 14 | 0.5% | |
| 1000 | 12 | 0.4% | |
| 2000 | 10 | 0.3% | |
| 4000 | 10 | 0.3% | |
| 3000 | 9 | 0.3% | |
| 1500 | 9 | 0.3% | |
| 500 | 8 | 0.3% | |
| 6000 | 7 | 0.2% | |
| Other values (83) | 153 | 5.0% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 2815 | 91.9% | |
| 0.25 | 1 | < 0.1% | |
| 1 | 5 | 0.2% | |
| 1.25 | 1 | < 0.1% | |
| 2 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 67000 | 1 | < 0.1% | |
| 65000 | 1 | < 0.1% | |
| 56000 | 1 | < 0.1% | |
| 50000 | 1 | < 0.1% | |
| 30000 | 1 | < 0.1% |
Cómo_creés_que_está_tu_sueldo_con_respecto_al_último_semestre
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| 2 | |
|---|---|
| 3 | |
| 1 |
| Value | Count | Frequency (%) | |
| 2 | 1122 | 36.6% | |
| 3 | 1095 | 35.7% | |
| 1 | 442 | 14.4% | |
| 4 | 404 | 13.2% |
| Max length | 1 |
|---|---|
| Mean length | 1 |
| Min length | 1 |
| Contains chars | False |
| Contains digits | True |
| Contains spaces | False |
| Contains non-words | False |
df_index
Numeric
| Distinct count | 3063 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1542.08619 |
|---|---|
| Minimum | 0 |
| Maximum | 3080 |
| Zeros (%) | < 0.1% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 153.1 |
| Q1 | 773.5 |
| Median | 1544 |
| Q3 | 2310.5 |
| 95-th percentile | 2925.9 |
| Maximum | 3080 |
| Range | 3080 |
| Interquartile range | 1537 |
Descriptive statistics
| Standard deviation | 888.653698 |
|---|---|
| Coef of variation | 0.5762672046 |
| Kurtosis | -1.195786054 |
| Mean | 1542.08619 |
| MAD | 769.0126482 |
| Skewness | -0.006122855892 |
| Sum | 4723410 |
| Variance | 789705.3949 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
Histogram with variable size bins (bins=[ 0. 3080.], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 2047 | 1 | < 0.1% | |
| 1026 | 1 | < 0.1% | |
| 1038 | 1 | < 0.1% | |
| 1036 | 1 | < 0.1% | |
| 1034 | 1 | < 0.1% | |
| 1032 | 1 | < 0.1% | |
| 3079 | 1 | < 0.1% | |
| 1030 | 1 | < 0.1% | |
| 3077 | 1 | < 0.1% | |
| 1028 | 1 | < 0.1% | |
| Other values (3053) | 3053 | 99.7% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 1 | < 0.1% | |
| 1 | 1 | < 0.1% | |
| 2 | 1 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 3080 | 1 | < 0.1% | |
| 3079 | 1 | < 0.1% | |
| 3078 | 1 | < 0.1% | |
| 3077 | 1 | < 0.1% | |
| 3076 | 1 | < 0.1% |
Dónde_estás_trabajando
Categorical
| Distinct count | 25 |
|---|---|
| Unique (%) | 0.8% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Ciudad Autónoma de Buenos Aires | |
|---|---|
| Provincia de Buenos Aires | 257 |
| Córdoba | 241 |
| Other values (22) |
| Value | Count | Frequency (%) | |
| Ciudad Autónoma de Buenos Aires | 1925 | 62.8% | |
| Provincia de Buenos Aires | 257 | 8.4% | |
| Córdoba | 241 | 7.9% | |
| GBA | 220 | 7.2% | |
| Santa Fe | 173 | 5.6% | |
| Mendoza | 61 | 2.0% | |
| Entre Ríos | 24 | 0.8% | |
| Jujuy | 22 | 0.7% | |
| Río Negro | 19 | 0.6% | |
| Neuquén | 17 | 0.6% | |
| Other values (15) | 104 | 3.4% |
| Max length | 31 |
|---|---|
| Mean length | 23.42246164 |
| Min length | 3 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Estado
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Completado | |
|---|---|
| En curso | |
| Incompleto |
| Value | Count | Frequency (%) | |
| Completado | 1435 | 46.8% | |
| En curso | 902 | 29.4% | |
| Incompleto | 726 | 23.7% |
| Max length | 10 |
|---|---|
| Mean length | 9.411034933 |
| Min length | 8 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Frameworks,_herramientas_y_librerías
Categorical
| Distinct count | 857 |
|---|---|
| Unique (%) | 28.0% |
| Missing (%) | 37.1% |
| Missing (n) | 1137 |
| .NET Core | 68 |
|---|---|
| Node.js, React.js | 66 |
| SAP | 63 |
| Other values (853) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| .NET Core | 68 | 2.2% | |
| Node.js, React.js | 66 | 2.2% | |
| SAP | 63 | 2.1% | |
| Node.js | 49 | 1.6% | |
| Spring | 40 | 1.3% | |
| React.js | 39 | 1.3% | |
| Bootstrap, jQuery | 35 | 1.1% | |
| Hibernate, Spring | 32 | 1.0% | |
| jQuery | 28 | 0.9% | |
| WordPress | 27 | 0.9% | |
| Other values (846) | 1479 | 48.3% | |
| (Missing) | 1137 | 37.1% |
| Max length | 134 |
|---|---|
| Mean length | 16.79497225 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
IDEs
Categorical
| Distinct count | 682 |
|---|---|
| Unique (%) | 22.3% |
| Missing (%) | 26.3% |
| Missing (n) | 805 |
| Visual Studio Code | 248 |
|---|---|
| Visual Studio, Visual Studio Code | 99 |
| IntelliJ | 85 |
| Other values (678) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| Visual Studio Code | 248 | 8.1% | |
| Visual Studio, Visual Studio Code | 99 | 3.2% | |
| IntelliJ | 85 | 2.8% | |
| Visual Studio | 84 | 2.7% | |
| Notepad++ | 60 | 2.0% | |
| IntelliJ, Visual Studio Code | 59 | 1.9% | |
| Sublime Text | 54 | 1.8% | |
| Vim | 49 | 1.6% | |
| Eclipse | 45 | 1.5% | |
| Notepad++, Visual Studio, Visual Studio Code | 42 | 1.4% | |
| Other values (671) | 1433 | 46.8% | |
| (Missing) | 805 | 26.3% |
| Max length | 152 |
|---|---|
| Mean length | 20.90891283 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Lenguajes_de_programación
Categorical
| Distinct count | 1077 |
|---|---|
| Unique (%) | 35.2% |
| Missing (%) | 15.9% |
| Missing (n) | 486 |
| SQL | 110 |
|---|---|
| Java | 84 |
| Python | 75 |
| Other values (1073) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| SQL | 110 | 3.6% | |
| Java | 84 | 2.7% | |
| Python | 75 | 2.4% | |
| Javascript | 62 | 2.0% | |
| Bash/Shell | 59 | 1.9% | |
| CSS, HTML, Javascript | 56 | 1.8% | |
| Bash/Shell, Python | 46 | 1.5% | |
| CSS, HTML, Javascript, PHP, SQL | 38 | 1.2% | |
| Java, Javascript | 34 | 1.1% | |
| .NET, C#, CSS, HTML, Javascript, SQL | 34 | 1.1% | |
| Other values (1066) | 1979 | 64.6% | |
| (Missing) | 486 | 15.9% |
| Max length | 112 |
|---|---|
| Mean length | 21.05256285 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Me_identifico
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Hombre | |
|---|---|
| Mujer | 435 |
| Otros | 14 |
| Value | Count | Frequency (%) | |
| Hombre | 2614 | 85.3% | |
| Mujer | 435 | 14.2% | |
| Otros | 14 | 0.5% |
| Max length | 6 |
|---|---|
| Mean length | 5.853411688 |
| Min length | 5 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | False |
| Contains non-words | False |
Nivel_de_estudios_alcanzado
Categorical
| Distinct count | 7 |
|---|---|
| Unique (%) | 0.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Universitario | |
|---|---|
| Terciario | |
| Secundario | 245 |
| Other values (4) | 162 |
| Value | Count | Frequency (%) | |
| Universitario | 2036 | 66.5% | |
| Terciario | 620 | 20.2% | |
| Secundario | 245 | 8.0% | |
| Posgrado | 149 | 4.9% | |
| Doctorado | 9 | 0.3% | |
| Posdoctorado | 2 | 0.1% | |
| Primario | 2 | 0.1% |
| Max length | 13 |
|---|---|
| Mean length | 11.69147894 |
| Min length | 8 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | False |
| Contains non-words | False |
Orientación_sexual
Categorical
| Distinct count | 23 |
|---|---|
| Unique (%) | 0.8% |
| Missing (%) | 2.0% |
| Missing (n) | 61 |
| Heterosexual | |
|---|---|
| Bisexual o queer | 112 |
| Homosexual | 96 |
| Other values (19) | 20 |
| (Missing) | 61 |
| Value | Count | Frequency (%) | |
| Heterosexual | 2774 | 90.6% | |
| Bisexual o queer | 112 | 3.7% | |
| Homosexual | 96 | 3.1% | |
| Pansexual | 2 | 0.1% | |
| Normal | 1 | < 0.1% | |
| No Binario | 1 | < 0.1% | |
| helicoptero de ataque | 1 | < 0.1% | |
| Helisexual | 1 | < 0.1% | |
| METETE LA PREGUNTA DONDE TU ORIENTACION SEXUAL TE GUSTE | 1 | < 0.1% | |
| Informacion privada | 1 | < 0.1% | |
| Other values (12) | 12 | 0.4% | |
| (Missing) | 61 | 2.0% |
| Max length | 62 |
|---|---|
| Mean length | 11.93862227 |
| Min length | 3 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Plataformas
Categorical
| Distinct count | 679 |
|---|---|
| Unique (%) | 22.2% |
| Missing (%) | 17.5% |
| Missing (n) | 535 |
| Windows Server | 199 |
|---|---|
| Linux | 188 |
| Docker, Linux | 115 |
| Other values (675) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| Windows Server | 199 | 6.5% | |
| Linux | 188 | 6.1% | |
| Docker, Linux | 115 | 3.8% | |
| Amazon Web Services, Docker, Linux | 96 | 3.1% | |
| Linux, VMWare, Windows Server | 95 | 3.1% | |
| Linux, Windows Server | 88 | 2.9% | |
| Amazon Web Services | 76 | 2.5% | |
| Azure | 63 | 2.1% | |
| Amazon Web Services, Docker | 55 | 1.8% | |
| Amazon Web Services, Linux | 54 | 1.8% | |
| Other values (668) | 1499 | 48.9% | |
| (Missing) | 535 | 17.5% |
| Max length | 162 |
|---|---|
| Mean length | 26.09826967 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
QA_/_Testing
Categorical
| Distinct count | 382 |
|---|---|
| Unique (%) | 12.5% |
| Missing (%) | 63.1% |
| Missing (n) | 1932 |
| JUnit | 116 |
|---|---|
| Postman | 70 |
| JUnit, Postman | 59 |
| Other values (378) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| JUnit | 116 | 3.8% | |
| Postman | 70 | 2.3% | |
| JUnit, Postman | 59 | 1.9% | |
| Selenium | 36 | 1.2% | |
| Postman, SoapUI | 34 | 1.1% | |
| Jest | 32 | 1.0% | |
| PHPUnit | 27 | 0.9% | |
| PHPUnit, Postman | 25 | 0.8% | |
| SoapUI | 22 | 0.7% | |
| TFS | 20 | 0.7% | |
| Other values (371) | 690 | 22.5% | |
| (Missing) | 1932 | 63.1% |
| Max length | 160 |
|---|---|
| Mean length | 7.777995429 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Realizaste_cursos_de_especialización
Categorical
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Sí, de forma particular | |
|---|---|
| No | |
| Sí, de forma particular, Sí, los pagó un empleador | |
| Other values (2) |
| Value | Count | Frequency (%) | |
| Sí, de forma particular | 1276 | 41.7% | |
| No | 806 | 26.3% | |
| Sí, de forma particular, Sí, los pagó un empleador | 596 | 19.5% | |
| Sí, los pagó un empleador | 379 | 12.4% | |
| No, Sí, de forma particular | 6 | 0.2% |
| Max length | 50 |
|---|---|
| Mean length | 22.98302318 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Recibís_algún_tipo_de_bono
Categorical
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| No | |
|---|---|
| De uno a tres sueldos | 378 |
| Menos de un sueldo | 370 |
| Other values (2) | 380 |
| Value | Count | Frequency (%) | |
| No | 1935 | 63.2% | |
| De uno a tres sueldos | 378 | 12.3% | |
| Menos de un sueldo | 370 | 12.1% | |
| Un sueldo | 306 | 10.0% | |
| 3+ sueldos | 74 | 2.4% |
| Max length | 21 |
|---|---|
| Mean length | 7.170094678 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Salario_mensual_BRUTO_(en_tu_moneda_local)
Numeric
| Distinct count | 777 |
|---|---|
| Unique (%) | 25.4% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 75302.67377 |
|---|---|
| Minimum | 1 |
| Maximum | 2500000 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 20000 |
| Q1 | 40500 |
| Median | 60910 |
| Q3 | 90000 |
| 95-th percentile | 170000 |
| Maximum | 2500000 |
| Range | 2499999 |
| Interquartile range | 49500 |
Descriptive statistics
| Standard deviation | 74047.87671 |
|---|---|
| Coef of variation | 0.9833366201 |
| Kurtosis | 389.0716553 |
| Mean | 75302.67377 |
| MAD | 37797.1155 |
| Skewness | 13.7216203 |
| Sum | 230652089.8 |
| Variance | 5483088046 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
Histogram with variable size bins (bins=[1.0000e+00 8.8200e+01 1.7500e+02 9.7500e+03 1.9900e+04 ... 2.0030e+05 2.6250e+05 3.1936e+05 8.1000e+05 2.5000e+06], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 60000 | 98 | 3.2% | |
| 50000 | 82 | 2.7% | |
| 80000 | 73 | 2.4% | |
| 40000 | 68 | 2.2% | |
| 55000 | 62 | 2.0% | |
| 65000 | 60 | 2.0% | |
| 35000 | 58 | 1.9% | |
| 70000 | 57 | 1.9% | |
| 90000 | 55 | 1.8% | |
| 100000 | 53 | 1.7% | |
| Other values (767) | 2397 | 78.3% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 1 | 5 | 0.2% | |
| 5 | 1 | < 0.1% | |
| 10 | 1 | < 0.1% | |
| 23 | 1 | < 0.1% | |
| 25 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 2500000 | 1 | < 0.1% | |
| 820000 | 1 | < 0.1% | |
| 800000 | 1 | < 0.1% | |
| 750000 | 1 | < 0.1% | |
| 645000 | 1 | < 0.1% |
Salario_mensual_NETO_(en_tu_moneda_local)
Numeric
| Distinct count | 723 |
|---|---|
| Unique (%) | 23.6% |
| Missing (%) | 4.2% |
| Missing (n) | 128 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 59280.81541 |
|---|---|
| Minimum | 1 |
| Maximum | 2416000 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 17175 |
| Q1 | 34630 |
| Median | 50000 |
| Q3 | 69000 |
| 95-th percentile | 122000 |
| Maximum | 2416000 |
| Range | 2415999 |
| Interquartile range | 34370 |
Descriptive statistics
| Standard deviation | 65622.63573 |
|---|---|
| Coef of variation | 1.106979303 |
| Kurtosis | 591.4230065 |
| Mean | 59280.81541 |
| MAD | 27723.73891 |
| Skewness | 18.5574577 |
| Sum | 173989193.2 |
| Variance | 4306330320 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 50000 | 80 | 2.6% | |
| 60000 | 75 | 2.4% | |
| 45000 | 65 | 2.1% | |
| 55000 | 63 | 2.1% | |
| 65000 | 62 | 2.0% | |
| 70000 | 60 | 2.0% | |
| 40000 | 53 | 1.7% | |
| 30000 | 52 | 1.7% | |
| 52000 | 51 | 1.7% | |
| 80000 | 47 | 1.5% | |
| Other values (712) | 2327 | 76.0% | |
| (Missing) | 128 | 4.2% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 5 | 1 | < 0.1% | |
| 19.5 | 1 | < 0.1% | |
| 20 | 1 | < 0.1% | |
| 21 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 2416000 | 1 | < 0.1% | |
| 950000 | 1 | < 0.1% | |
| 800000 | 1 | < 0.1% | |
| 650000 | 1 | < 0.1% | |
| 645000 | 1 | < 0.1% |
Tengo
Numeric
| Distinct count | 44 |
|---|---|
| Unique (%) | 1.4% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 32.35781913 |
|---|---|
| Minimum | 19 |
| Maximum | 1000 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 27 |
| Median | 31 |
| Q3 | 36 |
| 95-th percentile | 45 |
| Maximum | 1000 |
| Range | 981 |
| Interquartile range | 9 |
Descriptive statistics
| Standard deviation | 19.28833294 |
|---|---|
| Coef of variation | 0.5960949614 |
| Kurtosis | 2075.518496 |
| Mean | 32.35781913 |
| MAD | 6.067002779 |
| Skewness | 41.79131982 |
| Sum | 99112 |
| Variance | 372.0397878 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=44)
Histogram with variable size bins (bins=[ 19. 20.5 22.5 24.5 35.5 ... 43.5 47.5 54.5 61. 1000. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 30 | 194 | 6.3% | |
| 28 | 180 | 5.9% | |
| 29 | 179 | 5.8% | |
| 25 | 171 | 5.6% | |
| 33 | 159 | 5.2% | |
| 35 | 157 | 5.1% | |
| 31 | 157 | 5.1% | |
| 32 | 152 | 5.0% | |
| 26 | 149 | 4.9% | |
| 27 | 148 | 4.8% | |
| Other values (34) | 1417 | 46.3% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 19 | 13 | 0.4% | |
| 20 | 28 | 0.9% | |
| 21 | 64 | 2.1% | |
| 22 | 80 | 2.6% | |
| 23 | 110 | 3.6% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 1000 | 1 | < 0.1% | |
| 255 | 1 | < 0.1% | |
| 62 | 2 | 0.1% | |
| 60 | 3 | 0.1% | |
| 59 | 3 | 0.1% |
Tipo_de_contrato
Categorical
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Full-Time | |
|---|---|
| Part-Time | 201 |
| Remoto (empresa de otro país) | 105 |
| Other values (2) | 190 |
| Value | Count | Frequency (%) | |
| Full-Time | 2567 | 83.8% | |
| Part-Time | 201 | 6.6% | |
| Remoto (empresa de otro país) | 105 | 3.4% | |
| Tercerizado (trabajo a través de consultora o agencia) | 103 | 3.4% | |
| Freelance | 87 | 2.8% |
| Max length | 54 |
|---|---|
| Mean length | 11.19882468 |
| Min length | 9 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
Trabajo_de
Categorical
| Distinct count | 190 |
|---|---|
| Unique (%) | 6.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Developer | |
|---|---|
| SysAdmin / DevOps / SRE | |
| Technical Leader | 186 |
| Other values (187) |
| Value | Count | Frequency (%) | |
| Developer | 1239 | 40.5% | |
| SysAdmin / DevOps / SRE | 337 | 11.0% | |
| Technical Leader | 186 | 6.1% | |
| QA / Tester | 146 | 4.8% | |
| Manager / Director | 114 | 3.7% | |
| HelpDesk | 102 | 3.3% | |
| Project Manager | 89 | 2.9% | |
| Architect | 88 | 2.9% | |
| Consultant | 80 | 2.6% | |
| Networking | 79 | 2.6% | |
| Other values (180) | 603 | 19.7% |
| Max length | 94 |
|---|---|
| Mean length | 13.04570682 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
Universidad
Categorical
| Distinct count | 468 |
|---|---|
| Unique (%) | 15.3% |
| Missing (%) | 10.2% |
| Missing (n) | 313 |
| UTN - Universidad Tecnológica Nacional | |
|---|---|
| UBA - Universidad de Buenos Aires | |
| UADE - Universidad Argentina De la Empresa | 119 |
| Other values (464) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| UTN - Universidad Tecnológica Nacional | 680 | 22.2% | |
| UBA - Universidad de Buenos Aires | 396 | 12.9% | |
| UADE - Universidad Argentina De la Empresa | 119 | 3.9% | |
| UNLaM - Universidad Nacional de La Matanza | 101 | 3.3% | |
| UAI - Universidad Abierta Interamericana | 98 | 3.2% | |
| UNLP - Universidad Nacional de La Plata | 72 | 2.4% | |
| UP - Universidad de Palermo | 59 | 1.9% | |
| UNC - Universidad Nacional de Córdoba | 48 | 1.6% | |
| ORT | 47 | 1.5% | |
| Universidad Siglo 21 | 46 | 1.5% | |
| Other values (457) | 1084 | 35.4% | |
| (Missing) | 313 | 10.2% |
| Max length | 74 |
|---|---|
| Mean length | 29.97714659 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
¿A_cuántos_kilómetros_de_tu_casa_queda_la_oficina?
Numeric
| Distinct count | 109 |
|---|---|
| Unique (%) | 3.6% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 50.70830885 |
|---|---|
| Minimum | -1 |
| Maximum | 100000 |
| Zeros (%) | 1.1% |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 2 |
| Median | 6 |
| Q3 | 15 |
| 95-th percentile | 40 |
| Maximum | 100000 |
| Range | 100001 |
| Interquartile range | 13 |
Descriptive statistics
| Standard deviation | 1819.056664 |
|---|---|
| Coef of variation | 35.87295072 |
| Kurtosis | 2979.804358 |
| Mean | 50.70830885 |
| MAD | 80.21381647 |
| Skewness | 54.27162625 |
| Sum | 155319.55 |
| Variance | 3308967.148 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
Histogram with variable size bins (bins=[-1.00e+00 -5.00e-01 4.50e-01 5.50e-01 9.00e-01 ... 7.50e+01 1.10e+02 9.00e+02 7.25e+03 1.00e+05], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| -1 | 305 | 10.0% | |
| 2 | 247 | 8.1% | |
| 3 | 239 | 7.8% | |
| 10 | 239 | 7.8% | |
| 1 | 220 | 7.2% | |
| 5 | 220 | 7.2% | |
| 15 | 144 | 4.7% | |
| 20 | 141 | 4.6% | |
| 4 | 134 | 4.4% | |
| 6 | 119 | 3.9% | |
| Other values (99) | 1055 | 34.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| -1 | 305 | 10.0% | |
| 0 | 33 | 1.1% | |
| 0.1 | 2 | 0.1% | |
| 0.2 | 3 | 0.1% | |
| 0.3 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 100000 | 1 | < 0.1% | |
| 10000 | 1 | < 0.1% | |
| 4500 | 1 | < 0.1% | |
| 4000 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% |
¿A_qué_eventos_de_tecnología_asististe_en_el_último_año?
Categorical
| Distinct count | 769 |
|---|---|
| Unique (%) | 25.1% |
| Missing (%) | 64.0% |
| Missing (n) | 1959 |
| Ninguno | 98 |
|---|---|
| ninguno | 34 |
| 0 | 30 |
| Other values (765) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| Ninguno | 98 | 3.2% | |
| ninguno | 34 | 1.1% | |
| 0 | 30 | 1.0% | |
| Meetups | 26 | 0.8% | |
| Nerdearla | 18 | 0.6% | |
| Ekoparty | 10 | 0.3% | |
| Flisol | 9 | 0.3% | |
| Ninguno | 8 | 0.3% | |
| - | 8 | 0.3% | |
| PyConAr | 8 | 0.3% | |
| Other values (758) | 855 | 27.9% | |
| (Missing) | 1959 | 64.0% |
| Max length | 177 |
|---|---|
| Mean length | 8.121776037 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
¿Contribuís_a_proyectos_open_source?
Categorical
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| No | |
|---|---|
| Sí |
| Value | Count | Frequency (%) | |
| No | 2526 | 82.5% | |
| Sí | 537 | 17.5% |
| Max length | 2 |
|---|---|
| Mean length | 2 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | False |
| Contains non-words | False |
¿Cuáles_considerás_que_son_las_mejores_empresas_de_IT_para_trabajar_en_este_momento,_en_tu_ciudad?
Categorical
| Distinct count | 685 |
|---|---|
| Unique (%) | 22.4% |
| Missing (%) | 69.3% |
| Missing (n) | 2123 |
| Mercado Libre | 50 |
|---|---|
| MercadoLibre | 21 |
| Mercadolibre | 19 |
| Other values (681) | |
| (Missing) |
| Value | Count | Frequency (%) | |
| Mercado Libre | 50 | 1.6% | |
| MercadoLibre | 21 | 0.7% | |
| Mercadolibre | 19 | 0.6% | |
| Medallia | 16 | 0.5% | |
| Globant | 15 | 0.5% | |
| Despegar | 11 | 0.4% | |
| Endava | 9 | 0.3% | |
| Mulesoft | 9 | 0.3% | |
| Mercado libre | 9 | 0.3% | |
| Mercado Libre, Despegar | 8 | 0.3% | |
| Other values (674) | 773 | 25.2% | |
| (Missing) | 2123 | 69.3% |
| Max length | 306 |
|---|---|
| Mean length | 9.135161606 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
¿Cómo_calificás_las_políticas_de_diversidad_e_inclusión?
Numeric
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 7.379366634 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 6 |
| Median | 8 |
| Q3 | 9 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range | 3 |
Descriptive statistics
| Standard deviation | 2.349811058 |
|---|---|
| Coef of variation | 0.3184299107 |
| Kurtosis | 0.2532694363 |
| Mean | 7.379366634 |
| MAD | 1.895802256 |
| Skewness | -0.8986105239 |
| Sum | 22603 |
| Variance | 5.521612009 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 1.5 2.5 4.5 5.5 6.5 7.5 8.5 9.5 10. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 10 | 701 | 22.9% | |
| 8 | 564 | 18.4% | |
| 7 | 448 | 14.6% | |
| 9 | 442 | 14.4% | |
| 5 | 320 | 10.4% | |
| 6 | 254 | 8.3% | |
| 1 | 105 | 3.4% | |
| 4 | 94 | 3.1% | |
| 3 | 92 | 3.0% | |
| 2 | 43 | 1.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 1 | 105 | 3.4% | |
| 2 | 43 | 1.4% | |
| 3 | 92 | 3.0% | |
| 4 | 94 | 3.1% | |
| 5 | 320 | 10.4% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 10 | 701 | 22.9% | |
| 9 | 442 | 14.4% | |
| 8 | 564 | 18.4% | |
| 7 | 448 | 14.6% | |
| 6 | 254 | 8.3% |
¿De_qué_%_fue_el_ajuste?
Numeric
| Distinct count | 92 |
|---|---|
| Unique (%) | 3.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 13.83359778 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros (%) | 28.1% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 12.5 |
| Q3 | 20 |
| 95-th percentile | 35.9 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range | 20 |
Descriptive statistics
| Standard deviation | 12.8257554 |
|---|---|
| Coef of variation | 0.9271453172 |
| Kurtosis | 3.387546665 |
| Mean | 13.83359778 |
| MAD | 10.05827001 |
| Skewness | 1.226390928 |
| Sum | 42372.31 |
| Variance | 164.5000016 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=50)
Histogram with variable size bins (bins=[ 0. 0.25 2.8 3.2 3.75 ... 49.5 50.5 72.5 99.5 100. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 860 | 28.1% | |
| 10 | 302 | 9.9% | |
| 20 | 300 | 9.8% | |
| 15 | 299 | 9.8% | |
| 30 | 163 | 5.3% | |
| 25 | 113 | 3.7% | |
| 12 | 86 | 2.8% | |
| 5 | 85 | 2.8% | |
| 18 | 79 | 2.6% | |
| 22 | 56 | 1.8% | |
| Other values (82) | 720 | 23.5% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 860 | 28.1% | |
| 0.5 | 2 | 0.1% | |
| 1 | 4 | 0.1% | |
| 1.6 | 1 | < 0.1% | |
| 2 | 8 | 0.3% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 100 | 3 | 0.1% | |
| 99 | 1 | < 0.1% | |
| 88 | 1 | < 0.1% | |
| 75 | 1 | < 0.1% | |
| 70 | 3 | 0.1% |
¿En_qué_mes_fue_el_último_ajuste?
Numeric
| Distinct count | 8 |
|---|---|
| Unique (%) | 0.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 3.363369246 |
|---|---|
| Minimum | 0 |
| Maximum | 7 |
| Zeros (%) | 25.7% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 4 |
| Q3 | 6 |
| 95-th percentile | 6 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range | 6 |
Descriptive statistics
| Standard deviation | 2.425275815 |
|---|---|
| Coef of variation | 0.7210852088 |
| Kurtosis | -1.518929877 |
| Mean | 3.363369246 |
| MAD | 2.183415017 |
| Skewness | -0.2962383377 |
| Sum | 10302 |
| Variance | 5.881962779 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=8)
Histogram with variable size bins (bins=[0. 0.5 1.5 2.5 5.5 6.5 7. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 6 | 994 | 32.5% | |
| 0 | 786 | 25.7% | |
| 4 | 382 | 12.5% | |
| 3 | 307 | 10.0% | |
| 5 | 291 | 9.5% | |
| 1 | 177 | 5.8% | |
| 2 | 125 | 4.1% | |
| 7 | 1 | < 0.1% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 786 | 25.7% | |
| 1 | 177 | 5.8% | |
| 2 | 125 | 4.1% | |
| 3 | 307 | 10.0% | |
| 4 | 382 | 12.5% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 7 | 1 | < 0.1% | |
| 6 | 994 | 32.5% | |
| 5 | 291 | 9.5% | |
| 4 | 382 | 12.5% | |
| 3 | 307 | 10.0% |
¿Gente_a_cargo?
Numeric
| Distinct count | 39 |
|---|---|
| Unique (%) | 1.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1.795625204 |
|---|---|
| Minimum | 0 |
| Maximum | 198 |
| Zeros (%) | 76.1% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 0 |
| Q3 | 0 |
| 95-th percentile | 8 |
| Maximum | 198 |
| Range | 198 |
| Interquartile range | 0 |
Descriptive statistics
| Standard deviation | 8.09492308 |
|---|---|
| Coef of variation | 4.508136254 |
| Kurtosis | 235.1230709 |
| Mean | 1.795625204 |
| MAD | 2.801583335 |
| Skewness | 13.17980951 |
| Sum | 5500 |
| Variance | 65.52777968 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=39)
Histogram with variable size bins (bins=[ 0. 0.5 2.5 5.5 10.5 14.5 15.5 21. 42.5 198. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2331 | 76.1% | |
| 2 | 136 | 4.4% | |
| 1 | 132 | 4.3% | |
| 3 | 90 | 2.9% | |
| 5 | 83 | 2.7% | |
| 4 | 57 | 1.9% | |
| 6 | 40 | 1.3% | |
| 10 | 34 | 1.1% | |
| 15 | 23 | 0.8% | |
| 8 | 23 | 0.8% | |
| Other values (29) | 114 | 3.7% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 2331 | 76.1% | |
| 1 | 132 | 4.3% | |
| 2 | 136 | 4.4% | |
| 3 | 90 | 2.9% | |
| 4 | 57 | 1.9% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 198 | 1 | < 0.1% | |
| 150 | 2 | 0.1% | |
| 120 | 2 | 0.1% | |
| 109 | 1 | < 0.1% | |
| 90 | 1 | < 0.1% |
¿La_recomendás_como_un_buen_lugar_para_trabajar?
Numeric
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 7.182500816 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 6 |
| Median | 8 |
| Q3 | 9 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range | 3 |
Descriptive statistics
| Standard deviation | 2.051984594 |
|---|---|
| Coef of variation | 0.2856922186 |
| Kurtosis | 0.4554900825 |
| Mean | 7.182500816 |
| MAD | 1.598580639 |
| Skewness | -0.7966495213 |
| Sum | 22000 |
| Variance | 4.210640772 |
| Memory size | 24.0 KiB |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 6.5 7.5 8.5 9.5 10. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 8 | 746 | 24.4% | |
| 7 | 616 | 20.1% | |
| 10 | 408 | 13.3% | |
| 9 | 379 | 12.4% | |
| 6 | 312 | 10.2% | |
| 5 | 282 | 9.2% | |
| 4 | 137 | 4.5% | |
| 3 | 88 | 2.9% | |
| 1 | 55 | 1.8% | |
| 2 | 40 | 1.3% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 1 | 55 | 1.8% | |
| 2 | 40 | 1.3% | |
| 3 | 88 | 2.9% | |
| 4 | 137 | 4.5% | |
| 5 | 282 | 9.2% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 10 | 408 | 13.3% | |
| 9 | 379 | 12.4% | |
| 8 | 746 | 24.4% | |
| 7 | 616 | 20.1% | |
| 6 | 312 | 10.2% |
¿Porcentaje,_bruto_o_neto?
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Porcentaje de mi sueldo | |
|---|---|
| Bruto | |
| Neto |
| Value | Count | Frequency (%) | |
| Porcentaje de mi sueldo | 1572 | 51.3% | |
| Bruto | 937 | 30.6% | |
| Neto | 554 | 18.1% |
| Max length | 23 |
|---|---|
| Mean length | 14.05713353 |
| Min length | 4 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
¿Programás_como_hobbie?
Categorical
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Sí | |
|---|---|
| No |
| Value | Count | Frequency (%) | |
| Sí | 1647 | 53.8% | |
| No | 1416 | 46.2% |
| Max length | 2 |
|---|---|
| Mean length | 2 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | False |
| Contains non-words | False |
¿Qué_SO_usás_en_tu_laptop/PC_para_trabajar?
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Windows | |
|---|---|
| Linux | |
| Mac OS X |
| Value | Count | Frequency (%) | |
| Windows | 1708 | 55.8% | |
| Linux | 737 | 24.1% | |
| Mac OS X | 615 | 20.1% | |
| *BSD | 3 | 0.1% |
| Max length | 8 |
|---|---|
| Mean length | 6.716617695 |
| Min length | 4 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
¿Qué_tan_conforme_estás_con_tu_sueldo?
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| 3 | |
|---|---|
| 2 | |
| 4 |
| Value | Count | Frequency (%) | |
| 3 | 1430 | 46.7% | |
| 2 | 941 | 30.7% | |
| 4 | 412 | 13.5% | |
| 1 | 280 | 9.1% |
| Max length | 1 |
|---|---|
| Mean length | 1 |
| Min length | 1 |
| Contains chars | False |
| Contains digits | True |
| Contains spaces | False |
| Contains non-words | False |
¿Sentís_que_esto_te_dificultó_el_conseguir_trabajo?
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 52.0% |
| Missing (n) | 1594 |
| No | |
|---|---|
| Sí | 81 |
| (Missing) |
| Value | Count | Frequency (%) | |
| No | 1388 | 45.3% | |
| Sí | 81 | 2.6% | |
| (Missing) | 1594 | 52.0% |
| Max length | 3 |
|---|---|
| Mean length | 2.520404832 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | False |
| Contains non-words | False |
¿Sufriste_o_presenciaste_situaciones_de_violencia_laboral?
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.7% |
| Missing (n) | 21 |
| Jamás | |
|---|---|
| En un trabajo anterior | |
| En mi trabajo actual | 276 |
| (Missing) | 21 |
| Value | Count | Frequency (%) | |
| Jamás | 2136 | 69.7% | |
| En un trabajo anterior | 630 | 20.6% | |
| En mi trabajo actual | 276 | 9.0% | |
| (Missing) | 21 | 0.7% |
| Max length | 22 |
|---|---|
| Mean length | 9.834476004 |
| Min length | 3 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
¿Tenés_algún_tipo_de_discapacidad?
Categorical
| Distinct count | 45 |
|---|---|
| Unique (%) | 1.5% |
| Missing (%) | 91.8% |
| Missing (n) | 2813 |
| Visual | 139 |
|---|---|
| Auditiva | 24 |
| no | 17 |
| Other values (41) | 70 |
| (Missing) |
| Value | Count | Frequency (%) | |
| Visual | 139 | 4.5% | |
| Auditiva | 24 | 0.8% | |
| no | 17 | 0.6% | |
| Motriz | 11 | 0.4% | |
| No | 9 | 0.3% | |
| NO | 3 | 0.1% | |
| Ninguna | 2 | 0.1% | |
| Pulmonar | 2 | 0.1% | |
| Visceral | 2 | 0.1% | |
| ninguna | 2 | 0.1% | |
| Other values (34) | 39 | 1.3% | |
| (Missing) | 2813 | 91.8% |
| Max length | 78 |
|---|---|
| Mean length | 3.334639243 |
| Min length | 1 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
¿Tenés_guardias?
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| No | |
|---|---|
| Sí, pasiva | |
| Sí, activa | 133 |
| Value | Count | Frequency (%) | |
| No | 2328 | 76.0% | |
| Sí, pasiva | 602 | 19.7% | |
| Sí, activa | 133 | 4.3% |
| Max length | 10 |
|---|---|
| Mean length | 3.919686582 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
¿Tuviste_ajustes_por_inflación_en_lo_que_va_de_2019?
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Uno | |
|---|---|
| No | |
| Dos |
| Value | Count | Frequency (%) | |
| Uno | 1419 | 46.3% | |
| No | 847 | 27.7% | |
| Dos | 591 | 19.3% | |
| Más de dos | 206 | 6.7% |
| Max length | 10 |
|---|---|
| Mean length | 3.194253999 |
| Min length | 2 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
¿Y_en_tu_celular?
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Android | |
|---|---|
| iOS | |
| No tengo celular / no es Smartphone | 39 |
| Value | Count | Frequency (%) | |
| Android | 2411 | 78.7% | |
| iOS | 607 | 19.8% | |
| No tengo celular / no es Smartphone | 39 | 1.3% | |
| Windows | 6 | 0.2% |
| Max length | 35 |
|---|---|
| Mean length | 6.563826314 |
| Min length | 3 |
| Contains chars | True |
| Contains digits | False |
| Contains spaces | True |
| Contains non-words | True |
First rows
| A_qué_está_atado_el_bono | Actividad_principal | Años_de_experiencia | Años_en_el_puesto_actual | Años_en_la_empresa_actual | Bases_de_datos | Beneficios_extra | Cantidad_de_empleados | Carrera | Cuánto_cobrás_por_guardia | Cómo_creés_que_está_tu_sueldo_con_respecto_al_último_semestre | df_index | Dónde_estás_trabajando | Estado | Frameworks,_herramientas_y_librerías | IDEs | Lenguajes_de_programación | Me_identifico | Nivel_de_estudios_alcanzado | Orientación_sexual | Plataformas | QA_/_Testing | Realizaste_cursos_de_especialización | Recibís_algún_tipo_de_bono | Salario_mensual_BRUTO_(en_tu_moneda_local) | Salario_mensual_NETO_(en_tu_moneda_local) | Tengo | Tipo_de_contrato | Trabajo_de | Universidad | ¿A_cuántos_kilómetros_de_tu_casa_queda_la_oficina? | ¿A_qué_eventos_de_tecnología_asististe_en_el_último_año? | ¿Contribuís_a_proyectos_open_source? | ¿Cuáles_considerás_que_son_las_mejores_empresas_de_IT_para_trabajar_en_este_momento,_en_tu_ciudad? | ¿Cómo_calificás_las_políticas_de_diversidad_e_inclusión? | ¿De_qué_%_fue_el_ajuste? | ¿En_qué_mes_fue_el_último_ajuste? | ¿Gente_a_cargo? | ¿La_recomendás_como_un_buen_lugar_para_trabajar? | ¿Porcentaje,_bruto_o_neto? | ¿Programás_como_hobbie? | ¿Qué_SO_usás_en_tu_laptop/PC_para_trabajar? | ¿Qué_tan_conforme_estás_con_tu_sueldo? | ¿Sentís_que_esto_te_dificultó_el_conseguir_trabajo? | ¿Sufriste_o_presenciaste_situaciones_de_violencia_laboral? | ¿Tenés_algún_tipo_de_discapacidad? | ¿Tenés_guardias? | ¿Tuviste_ajustes_por_inflación_en_lo_que_va_de_2019? | ¿Y_en_tu_celular? | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | No recibo bono | Producto basado en Software | 3.0 | 1.0 | 1.0 | NaN | Capacitaciones y/o cursos, Clases de idiomas, ... | 101-200 | Ingeniería en Informática | 0.0 | 4 | 0 | Catamarca | En curso | NaN | Emacs | C, C++, Python | Hombre | Universitario | Heterosexual | Azure, Docker, Linux | NaN | No | No | 88000.0 | 69000.0 | 28 | Full-Time | Developer | UNCa | -1.0 | NaN | Sí | NaN | 10 | 0.0 | 0 | 0 | 10 | Porcentaje de mi sueldo | Sí | Linux | 4 | NaN | Jamás | NaN | No | No | Android |
| 1 | No recibo bono | Producto basado en Software | 9.0 | 1.0 | 1.0 | Amazon DynamoDB, Amazon RDS/Aurora, ElasticSea... | WFH (Trabajar desde casa) | 1-10 | Ingeniería en Sistemas de Información | 0.0 | 4 | 1 | Catamarca | Completado | NaN | Visual Studio Code | Python | Hombre | Universitario | Heterosexual | Amazon Web Services, Docker, Kubernetes, Linux... | NaN | Sí, de forma particular, Sí, los pagó un emple... | No | 200000.0 | 200000.0 | 34 | Remoto (empresa de otro país) | SysAdmin / DevOps / SRE | NaN | -1.0 | Docker meetup | No | NaN | 10 | 0.0 | 0 | 0 | 8 | Porcentaje de mi sueldo | No | Linux | 4 | NaN | Jamás | NaN | No | No | Android |
| 2 | No recibo bono | Otras industrias | 3.0 | 0.0 | 0.0 | MariaDB, MongoDB, MySQL, PostgreSQL | Comidas pagas / subvencionadas, Lactario en la... | 51-100 | Ingeniería en Informática | 0.0 | 2 | 2 | Catamarca | En curso | Bootstrap, Django, Flask, Flutter, jQuery, Nod... | Visual Studio Code | CSS, Dart, HTML, Javascript, Python, SQL | Hombre | Universitario | Heterosexual | Docker, Kubernetes, Linux, VMWare, PROXMOX, MI... | JUnit, Selenium | Sí, de forma particular, Sí, los pagó un emple... | No | 30000.0 | 27000.0 | 23 | Freelance | Developer Y SysAdmin / DevOps / SRE | UNCA | 1.0 | NaN | No | No existen empresas IT | 10 | 0.0 | 0 | 0 | 6 | Porcentaje de mi sueldo | Sí | Linux | 2 | NaN | Jamás | NaN | No | No | Android |
| 3 | No recibo bono | Servicios / Consultoría de Software / Digital | 5.0 | 0.0 | 0.0 | MySQL | Capacitaciones y/o cursos, Clases de idiomas, ... | 11-50 | Licenciatura en Informática | 0.0 | 4 | 3 | Chaco | En curso | Bootstrap, jQuery, WordPress | PHPStorm, Visual Studio Code, WebStorm | CSS, HTML, Javascript, PHP, SQL | Mujer | Universitario | Heterosexual | Amazon Web Services, Docker | Postman | Sí, de forma particular | No | 42000.0 | 35000.0 | 24 | Full-Time | Designer | Universidad Siglo 21 | 15.0 | NaN | No | NaN | 10 | 40.0 | 6 | 0 | 10 | Porcentaje de mi sueldo | Sí | Mac OS X | 4 | NaN | Jamás | NaN | No | Dos | iOS |
| 4 | horas extra | Producto basado en Software | 0.0 | 0.0 | 0.0 | Microsoft Azure (Tables, CosmosDB, SQL, etc), ... | Capacitaciones y/o cursos, Clases de idiomas, ... | 5001-10000 | Ingeniería Electromecánica | 0.0 | 2 | 4 | Chaco | En curso | NaN | Eclipse, IntelliJ | Java, SQL | Hombre | Universitario | Heterosexual | Amazon Web Services, Azure, Linux | JUnit, Postman, Selenium | Sí, de forma particular | Menos de un sueldo | 23000.0 | 18900.0 | 27 | Full-Time | QA / Tester | UTN - Universidad Tecnológica Nacional | 1.0 | charlas varias | No | Globant, pampa technology, valtec, inwin | 10 | 0.0 | 0 | 0 | 8 | Neto | Sí | Windows | 2 | No | Jamás | NaN | No | No | Android |
| 5 | No recibo bono | Otras industrias | 8.0 | 0.0 | 0.0 | MariaDB, MySQL | Capacitaciones y/o cursos, Horarios flexibles,... | 11-50 | Tecnicatura en Programación | 0.0 | 1 | 5 | Chaco | Completado | Bootstrap, Django, jQuery, Node.js | Visual Studio Code | CSS, HTML, Javascript, Python, SQL | Hombre | Universitario | Heterosexual | Amazon Web Services, Serverless | NaN | Sí, de forma particular | No | 75000.0 | 66000.0 | 31 | Remoto (empresa de otro país) | Developer | UTN - Universidad Tecnológica Nacional | -1.0 | meetup de datos en resistencia chaco (https://... | No | NaN | 10 | 0.0 | 0 | 0 | 7 | Porcentaje de mi sueldo | Sí | Linux | 3 | No | Jamás | Visual | No | No | Android |
| 6 | Performance individual | Servicios / Consultoría de Software / Digital | 4.0 | 1.0 | 3.0 | Google Cloud Storage, MySQL, Percona Server, P... | Clases de idiomas, Horarios flexibles, Masajes... | 51-100 | Ingeniería en Sistemas de Información | 0.0 | 2 | 6 | Chaco | Completado | Flask, Hadoop | Sublime Text, Vim | Bash/Shell, Go, Python | Hombre | Universitario | Heterosexual | Docker, Google Cloud Platform/App Engine, Kube... | RSpec | Sí, los pagó un empleador | Menos de un sueldo | 45000.0 | 38000.0 | 30 | Full-Time | SysAdmin / DevOps / SRE | UTN - Universidad Tecnológica Nacional | 2.0 | NaN | Sí | NaN | 10 | 20.0 | 6 | 0 | 8 | Porcentaje de mi sueldo | Sí | Linux | 3 | NaN | Jamás | NaN | No | Uno | Android |
| 7 | No recibo bono | Servicios / Consultoría de Software / Digital | 2.0 | 1.0 | 1.0 | Oracle, PostgreSQL | Capacitaciones y/o cursos, Clases de idiomas, ... | 101-200 | Ingeniería en Sistemas de Información | 0.0 | 1 | 7 | Chaco | Incompleto | Rails, Spring | Emacs, IntelliJ, Vi, Vim | Java, Ruby | Hombre | Universitario | Heterosexual | Amazon Web Services, Docker, Google Cloud Plat... | Cucumber, JUnit, Postman, RSpec, Selenium | Sí, de forma particular | No | 34000.0 | 28000.0 | 26 | Full-Time | Developer | UTN - Universidad Tecnológica Nacional | 1.0 | NaN | No | Globant | 7 | 0.0 | 0 | 2 | 6 | Porcentaje de mi sueldo | Sí | Linux | 1 | NaN | Jamás | NaN | No | No | Android |
| 8 | No recibo bono | Servicios / Consultoría de Software / Digital | 4.0 | 2.0 | 3.0 | Microsoft Azure (Tables, CosmosDB, SQL, etc), ... | Capacitaciones y/o cursos, Clases de idiomas, ... | 5001-10000 | Ingeniería en Sistemas de Información | 0.0 | 1 | 8 | Chaco | Completado | .NET Core, Angular, Node.js, React.js | Eclipse, IntelliJ, PyCharm, Sublime Text, Vim,... | .NET, C#, Java, Javascript, Python, SQL, TypeS... | Mujer | Universitario | Heterosexual | Azure, Docker, Linux, Windows Server | Cucumber, JUnit, NUnit, Postman, Selenium, Soa... | Sí, los pagó un empleador | No | 37000.0 | 31000.0 | 29 | Full-Time | QA / Tester | UTN - Universidad Tecnológica Nacional | 1.0 | PyDay | No | TradeHelm, Baltech, Remotas para CABA | 10 | 33.0 | 4 | 2 | 4 | Porcentaje de mi sueldo | Sí | Windows | 1 | No | En mi trabajo actual | NaN | No | Uno | No tengo celular / no es Smartphone |
| 9 | No recibo bono | Servicios / Consultoría de Software / Digital | 5.0 | 0.0 | 0.0 | PostgreSQL | Ninguna de las anteriores | 11-50 | Analista de Sistemas | 0.0 | 4 | 9 | Chaco | Completado | .NET Core, Angular | Visual Studio, Visual Studio Code | .NET, C#, TypeScript | Hombre | Terciario | Heterosexual | NaN | Cypress | No | No | 65000.0 | 65000.0 | 40 | Full-Time | Developer | Instituto Almafuerte | -1.0 | NaN | No | NaN | 8 | 0.0 | 0 | 0 | 8 | Porcentaje de mi sueldo | No | Windows | 4 | NaN | Jamás | NaN | No | No | Android |
Last rows
| A_qué_está_atado_el_bono | Actividad_principal | Años_de_experiencia | Años_en_el_puesto_actual | Años_en_la_empresa_actual | Bases_de_datos | Beneficios_extra | Cantidad_de_empleados | Carrera | Cuánto_cobrás_por_guardia | Cómo_creés_que_está_tu_sueldo_con_respecto_al_último_semestre | df_index | Dónde_estás_trabajando | Estado | Frameworks,_herramientas_y_librerías | IDEs | Lenguajes_de_programación | Me_identifico | Nivel_de_estudios_alcanzado | Orientación_sexual | Plataformas | QA_/_Testing | Realizaste_cursos_de_especialización | Recibís_algún_tipo_de_bono | Salario_mensual_BRUTO_(en_tu_moneda_local) | Salario_mensual_NETO_(en_tu_moneda_local) | Tengo | Tipo_de_contrato | Trabajo_de | Universidad | ¿A_cuántos_kilómetros_de_tu_casa_queda_la_oficina? | ¿A_qué_eventos_de_tecnología_asististe_en_el_último_año? | ¿Contribuís_a_proyectos_open_source? | ¿Cuáles_considerás_que_son_las_mejores_empresas_de_IT_para_trabajar_en_este_momento,_en_tu_ciudad? | ¿Cómo_calificás_las_políticas_de_diversidad_e_inclusión? | ¿De_qué_%_fue_el_ajuste? | ¿En_qué_mes_fue_el_último_ajuste? | ¿Gente_a_cargo? | ¿La_recomendás_como_un_buen_lugar_para_trabajar? | ¿Porcentaje,_bruto_o_neto? | ¿Programás_como_hobbie? | ¿Qué_SO_usás_en_tu_laptop/PC_para_trabajar? | ¿Qué_tan_conforme_estás_con_tu_sueldo? | ¿Sentís_que_esto_te_dificultó_el_conseguir_trabajo? | ¿Sufriste_o_presenciaste_situaciones_de_violencia_laboral? | ¿Tenés_algún_tipo_de_discapacidad? | ¿Tenés_guardias? | ¿Tuviste_ajustes_por_inflación_en_lo_que_va_de_2019? | ¿Y_en_tu_celular? | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3053 | No recibo bono | Servicios / Consultoría de Software / Digital | 13.0 | 4.0 | 4.0 | Amazon RDS/Aurora, MariaDB, MSSQL, MySQL, Post... | Ninguna de las anteriores | 11-50 | Ingeniería en Computación | 0.0 | 2 | 3071 | Tucumán | Incompleto | Angular, Bootstrap, Cordova, jQuery, Node.js, ... | Eclipse, Nano, Vi, Visual Studio Code | Bash/Shell, Javascript, PHP, Python, SQL, Type... | Hombre | Universitario | Heterosexual | Amazon Web Services, Firebase, Google Cloud Pl... | PHPUnit, Postman | Sí, de forma particular | No | 33000.0 | 28000.0 | 38 | Full-Time | Developer | UTN - Universidad Tecnológica Nacional | 8.0 | NaN | Sí | NaN | 3 | 20.0 | 5 | 0 | 6 | Porcentaje de mi sueldo | Sí | Linux | 2 | NaN | Jamás | NaN | No | Uno | Android |
| 3054 | No recibo bono | Servicios / Consultoría de Software / Digital | 5.0 | 1.0 | 1.0 | ElasticSearch, MariaDB, MySQL | Capacitaciones y/o cursos, Clases de idiomas, ... | 51-100 | Ingeniería en Computación | 0.0 | 2 | 3072 | Tucumán | Completado | Magento | PHPStorm | PHP | Hombre | Universitario | Heterosexual | Amazon Web Services, Docker, Linux | PHPUnit, Selenium | No | No | 50000.0 | 44000.0 | 38 | Full-Time | Developer | UNT - Universidad Nacional Tucuman | -1.0 | NaN | No | NaN | 10 | 0.0 | 0 | 0 | 9 | Neto | Sí | Linux | 2 | No | Jamás | NaN | No | No | Android |
| 3055 | No recibo bono | Otras industrias | 7.0 | 0.0 | 0.0 | MariaDB, MySQL | Ninguna de las anteriores | 501-1000 | Ingeniería en Sistemas de Información | 0.0 | 4 | 3073 | Tucumán | Completado | NaN | Notepad++, Vim | NaN | Hombre | Universitario | Heterosexual | Linux, VMWare, Windows Server | NaN | Sí, de forma particular | No | 49800.0 | 45000.0 | 32 | Part-Time | Networking | UTN - Universidad Tecnológica Nacional | 15.0 | NaN | No | NaN | 10 | 0.0 | 0 | 0 | 9 | Bruto | No | Windows | 4 | NaN | En un trabajo anterior | NaN | Sí, pasiva | No | Android |
| 3056 | No recibo bono | Producto basado en Software | 3.0 | 1.0 | 1.0 | MariaDB, MySQL, Percona Server, Redis, SQLite | Horarios flexibles | 101-200 | Ingeniería en Computación | 0.0 | 4 | 3074 | Tucumán | Completado | Bootstrap, jQuery, Node.js, Vue.js, Yii 2 | NetBeans, Notepad++, Vi, Vim, Visual Studio Code | .NET, C, C++, C#, HTML, Java, Javascript, PHP,... | Hombre | Universitario | Heterosexual | Docker, Google Cloud Platform/App Engine, Linux | NaN | No | No | 62000.0 | 60000.0 | 27 | Full-Time | Developer | UNT TUCUMAN | 1.0 | NaN | No | NaN | 5 | 25.0 | 0 | 0 | 8 | Porcentaje de mi sueldo | Sí | Linux | 4 | Sí | Jamás | NaN | No | Más de dos | iOS |
| 3057 | No recibo bono | Otras industrias | 7.0 | 7.0 | 7.0 | NaN | Ninguna de las anteriores | 201-500 | Ingeniería en Computación | 0.0 | 2 | 3075 | Tucumán | Incompleto | NaN | Notepad++ | Bash/Shell | Hombre | Universitario | Heterosexual | VMWare, Windows Server | NaN | Sí, de forma particular | No | 62000.0 | 51400.0 | 34 | Full-Time | HelpDesk | Universidad Nacional de Tucumán | 500.0 | NaN | No | NaN | 5 | 30.0 | 3 | 0 | 5 | Neto | No | Windows | 3 | NaN | Jamás | NaN | Sí, pasiva | Uno | Android |
| 3058 | Performance individual | Producto basado en Software | 2.0 | 0.0 | 3.0 | NaN | Abono de celular y/o Internet, Capacitaciones ... | 101-200 | Ingeniería en Computación | 0.0 | 3 | 3076 | Tucumán | Incompleto | NaN | NaN | NaN | Hombre | Universitario | Heterosexual | VMWare, Windows Server, Sophos, RSA, Kace | NaN | Sí, de forma particular | Un sueldo | 61000.0 | 49000.0 | 31 | Full-Time | Soporte de TI nivel 3 | UNT - Universidad Nacional de Tucuman | 13.0 | EMC | No | NaN | 10 | 45.0 | 3 | 1 | 9 | Bruto | No | Windows | 3 | No | Jamás | Visual | Sí, pasiva | Dos | iOS |
| 3059 | Performance individual | Producto basado en Software | 5.0 | 2.0 | 3.0 | Amazon RDS/Aurora, MySQL, Redis, SQLite | Capacitaciones y/o cursos | 1-10 | Tecnicatura Superior en Programación | 0.0 | 1 | 3077 | Tucumán | Incompleto | Angular, Cordova, Laravel, Node.js | Android Studio, IntelliJ, PHPStorm, Sublime Te... | HTML, Javascript, PHP, SQL, TypeScript | Hombre | Universitario | Heterosexual | Amazon Web Services, Linux, Serverless | Postman | Sí, de forma particular, Sí, los pagó un emple... | Menos de un sueldo | 32000.0 | 27500.0 | 28 | Full-Time | Project Manager | UNT - Universidad Nacional de Tucumán | 1.0 | la semana de la ingenieria en la UTN de Tucumá... | No | NaN | 10 | 15.0 | 5 | 2 | 7 | Bruto | Sí | Linux | 2 | NaN | En mi trabajo actual | NaN | Sí, pasiva | Dos | Android |
| 3060 | No recibo bono | Producto basado en Software | 1.0 | 1.0 | 1.0 | MySQL | Gimnasios gratuitos / subvencionados, Estacion... | 11-50 | Ingeniería en Sistemas de Información | 0.0 | 2 | 3078 | Tucumán | Completado | NaN | NaN | NaN | Mujer | Universitario | Heterosexual | NaN | NaN | Sí, de forma particular | No | 32000.0 | 27000.0 | 24 | Full-Time | Scrum Master | UTN - Universidad Tecnológica Nacional | 12.0 | NaN | No | Sovos | 8 | 11.0 | 5 | 5 | 8 | Porcentaje de mi sueldo | Sí | Windows | 2 | NaN | Jamás | NaN | No | Dos | iOS |
| 3061 | No recibo bono | Otras industrias | 8.0 | 5.0 | 5.0 | MySQL, PostgreSQL | Ninguna de las anteriores | 2001-5000 | Ingeniería en Computación | 0.0 | 3 | 3079 | Tucumán | Completado | NaN | NaN | Bash/Shell, Python, SQL | Hombre | Universitario | Heterosexual | Linux | NaN | Sí, de forma particular | No | 115000.0 | 90000.0 | 40 | Full-Time | SysAdmin / DevOps / SRE | UNT - Universidad Nacional de Tucumán | 7.0 | NaN | Sí | NaN | 7 | 25.0 | 6 | 2 | 7 | Bruto | No | Linux | 4 | NaN | Jamás | NaN | Sí, pasiva | Dos | Android |
| 3062 | Performance individual | Servicios / Consultoría de Software / Digital | 12.0 | 3.0 | 6.0 | MSSQL | Capacitaciones y/o cursos, Clases de idiomas, ... | 2001-5000 | Ingeniería en Sistemas de Información | 0.0 | 2 | 3080 | Tucumán | Completado | jQuery, React.js, Sitecore | Visual Studio, Visual Studio Code | .NET, C#, CSS, HTML, Javascript, SQL | Hombre | Universitario | Heterosexual | Windows Server | NaN | Sí, de forma particular | Menos de un sueldo | 83000.0 | 63000.0 | 40 | Full-Time | Developer | UTN - Universidad Tecnológica Nacional | 8.0 | NaN | No | Globant, Sovos | 7 | 20.0 | 6 | 0 | 7 | Bruto | No | Windows | 2 | NaN | Jamás | NaN | No | Uno | Android |